Course description

Course Overview

This comprehensive course is designed to provide participants with a deep understanding of data science, covering essential topics such as data sourcing, coding, mathematics, and statistics. Students will gain hands-on experience in using various data science tools and techniques to analyze and interpret data.

Key Learning Objectives

• Understand the fundamentals of data sourcing and collection
• Develop coding skills for data manipulation and analysis
• Apply mathematical concepts to solve data science problems
• Utilize statistical methods to draw insights from data

Requirements

• Basic knowledge of programming
• Familiarity with mathematical concepts
• Understanding of statistical principles

Outcomes

Upon completion of the course, participants will be able to:

• Source and collect relevant data for analysis
• Write and execute code for data manipulation and visualization
• Apply mathematical concepts such as linear algebra and calculus to solve data science problems
• Utilize statistical methods for hypothesis testing and predictive modeling

Certification

Participants who successfully complete the course will receive a certification in Data Science, showcasing their proficiency in data sourcing, coding, mathematics, and statistics.

What will i learn?

• Source and collect relevant data for analysis
• Write and execute code for data manipulation and visualization
• Apply mathematical concepts such as linear algebra and calculus to solve data science problems
• Utilize statistical methods for hypothesis testing and predictive modeling